Marialva Sinigaglia
- Co-authors
- Gustavo Fioravanti VieiraMaurício RigoDinler A. AntunesMaria Luı́za RegulyHeloı́sa Helena Rodrigues de AndradeJosé C. M. MombachViviane Souza do AmaralJosé Artur Bogo Chies
- Topics
- vaccines and immunoinformatics approaches (5 papers)DNA Repair Mechanisms (4 papers)Bioinformatics and Genomic Networks (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- BrazilSlovakiaUnited States
In The Last Decade
Marialva Sinigaglia
35 papers receiving 477 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 263
- Immunology 136
- Cancer Research 65
- Oncology 61
- Plant Science 60
Countries citing papers authored by Marialva Sinigaglia
This map shows the geographic impact of Marialva Sinigaglia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marialva Sinigaglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marialva Sinigaglia more than expected).
Fields of papers citing papers by Marialva Sinigaglia
This network shows the impact of papers produced by Marialva Sinigaglia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marialva Sinigaglia. The network helps show where Marialva Sinigaglia may publish in the future.
Co-authorship network of co-authors of Marialva Sinigaglia
This figure shows the co-authorship network connecting the top 25 collaborators of Marialva Sinigaglia. A scholar is included among the top collaborators of Marialva Sinigaglia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marialva Sinigaglia. Marialva Sinigaglia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 19 | |
| 9 | 37 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | Reconstruction of MHC Alleles by Cross Modeling and Structural Assessment. | 1 |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 14 |
About Marialva Sinigaglia
Marialva Sinigaglia is a scholar working on Hepatology, Molecular Biology and Biotechnology, having authored 37 papers that have together received 481 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (5 papers), DNA Repair Mechanisms (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Immunology (136 citations), Cancer Research (65 citations) and Molecular Biology (263 citations). Marialva Sinigaglia has collaborated with scholars based in Brazil, Slovakia and United States. Frequent co-authors include Gustavo Fioravanti Vieira, Maurício Rigo, Dinler A. Antunes, Maria Luı́za Reguly, Heloı́sa Helena Rodrigues de Andrade, José C. M. Mombach, Viviane Souza do Amaral, José Artur Bogo Chies, Maria Cristina Munerato and Mauro A. A. Castro. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.